David Menninger's Analyst Perspectives

Collibra Brings Effective Data Governance to Line-of-Business

Posted by David Menninger on Sep 28, 2021 3:00:00 AM

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open application programming interfaces to connect to various data ecosystems. Its data intelligence cloud platform can automatically classify data from various sources such as online transaction processing databases, master repositories and Excel files without moving the data, so the information assets stay protected.

Earlier this year, Collibra acquired OwlDQ, which provides data profiling capabilities and can determine patterns to measure data quality. The software can detect data anomalies, generate quality rules and reconcile replication errors. The integration of OwlDQ with the Collibra Data Intelligence Cloud introduced a new offering — Collibra Data Quality, which allows organizations to centralize and automate data quality workflows to comply with global regulations including the General Data Protection Regulation, the Comprehensive Capital Analysis and Review, the Basel Committee on Banking Supervision's standard number 239, and the Health Insurance Portability and Accountability Act.

VR_2021_Data_Governance_Assertion_2_SquareData has become a core asset for any organization that is driving digital transformation, and effective data governance is more important than ever before. It provides a framework for collaboration through a shared language, where teammates within and across departments can communicate using the same terminology and analyze the same data. Additionally, clarifying roles and responsibilities eliminate confusion to make data processes and collaboration easy to follow. Yet, a lot of organizations are using disconnected static spreadsheets for compliance purposes, which makes updating and sharing information challenging and leaves a lot of room for human error. We assert that through 2023, more than one-half of organizations will continue to use spreadsheets in data governance, jeopardizing the robustness of operational effectiveness.

Collibra Data Governance enables the governance team to document, curate and classify data so that the organization’s governance policies and security classification standards can be enforced correctly. It offers an end-to-end platform for data governance, providing pre-built templates and frameworks for cross-functional collaboration. By using these frameworks, organizations can map out the components of a data governance strategy from ideation to execution.

Organizations are recognizing the need to invest in an agile data quality and governance framework that enables insights, assists in strategic decision-making and improves security management. A good data governance framework includes policies, procedures, processes and rules along with the right organizational structure and the technology to make it all happen. I recommend that organizations seeking to streamline data processes and improve organization-wide governance and collaboration evaluate the capabilities of Collibra.


David Menninger

Topics: business intelligence, Analytics, Data Governance, Data Preparation, Information Management, Data, data lakes, AI & Machine Learning

David Menninger

Written by David Menninger

David is responsible for the overall research direction of data, information and analytics technologies at Ventana Research covering major areas including Analytics, Big Data, Business Intelligence and Information Management along with the additional specific research categories including Information Applications, IT Performance Management, Location Intelligence, Operational Intelligence and IoT, and Data Science. David is also responsible for examining the role of cloud computing, collaboration and mobile technologies as they affect these areas. David brings to Ventana Research over twenty-five years of experience, through which he has marketed and brought to market some of the leading edge technologies for helping organizations analyze data to support a range of action-taking and decision-making processes. Prior to joining Ventana Research, David was the Head of Business Development & Strategy at Pivotal a division of EMC, VP of Marketing and Product Management at Vertica Systems, VP of Marketing and Product Management at Oracle, Applix, InforSense and IRI Software. David earned his MS in Business from Bentley University and a BS in Economics from University of Pennsylvania.